Finance Systems Data Analyst

What this job can offer you

• The Finance Systems Data Analyst plays a key role in supporting the Finance organization by ensuring the accuracy, consistency, and accessibility of financial data across SAP and Snowflake environments.
• This position bridges finance, data engineering, and business intelligence, helping to optimize data flows, automate reporting, and enable better financial decision-making through clean, connected data.

What you bring

• Essential:
  • Previous experience working with finance data as a systems analysts or data analyst 
  • Strong SQL skills for data modelling & transformations.
  • Experience with dbt or similar analytics engineering frameworks for building maintainable data pipelines
  • Experience integrating data from SAP to Snowflake or similar cloud data platforms.
  • Proficiency in financial data analysis, reporting, and visualization (Power BI, Tableau, or similar).
  • Solid understanding of accounting principles and financial reporting requirements.
• Desirable:
  • Experience with Python or DBT for data automation.
  • Exposure to SAP S4 Hana
  • Understanding of SAP Finance modules (FI, CO, AR, AP, GL) and underlying data structures.
  • Hands-on experience with Snowflake, including writing advanced SQL for data modeling and transformation

Key Responsibilities

• Data Management & Integration
  • Maintain, validate, and reconcile financial data between SAP (FI/CO, AR, AP, GL, etc.) and Snowflake data warehouse.
  • Skilled in transforming and modeling the data in dbt which is our de facto modeling layer
  • Collaborate with IT and Data Engineering teams to ensure accurate and timely data ingestion from SAP to Snowflake.
• Finance Systems Support
  • Support finance users in troubleshooting data or system issues within SAP and Snowflake-based dashboards.
  • Participate in finance system upgrades, data migrations, or automation projects.
• Reporting & Analytics
  • Develop and maintain financial dashboards and reports (e.g., P&L, balance sheet, cash flow, working capital KPIs) using SQL, Business Intelligence tools (example Sigma)
  • Translate business requirements into data queries and visualizations to support financial planning, audit, and compliance needs.
  • Deliver ad-hoc analysis and insights to support Finance leadership and other stakeholders.
• Process Improvement
  • Identify and automate manual finance data processes to improve accuracy and efficiency.
  • Contribute to data governance frameworks, ensuring standardized definitions and consistent use of financial data across the organization.
  • Support ongoing digital transformation and data modernization initiatives.

Benefits

• work from anywhere
• flexible paid time off
• flexible working hours (we are async)
• 16 weeks paid parental leave
• mental health support services
• stock options
• learning budget
• home office budget & IT equipment
• budget for local in-person social events or co-working spaces